### **About industryGENOME**
industryGENOME (iG) is a health sciences market intelligence platform
providing bottom-up industry analysis, financial and deal metrics, and highly
precise market maps for the pharmaceutical services industry. iG is building a
multi-product AI platform with two distinct product lines:
**DealBeans** — iG’s AI engine for investment banking workflows. DealBeans
ingests, classifies, extracts, and synthesizes M&A documents into investment-
grade deliverables (CIM/offering memos, gap analyses, storyboards, slide
instructions). DealBeans maintains its own Client Knowledge Graph — a
structured data layer built from client-specific source documents through an
automated ingestion pipeline. DealBeans is live and in production use at
Crosstree Capital, iG’s affiliated M&A advisory firm.
**Strategic Intelligence Agents** — AI-powered tools within the iG platform
for non-investment-banking use cases, including competitive landscape
analysis, market mapping, and total addressable market sizing. These agents
operate directly against iG’s proprietary database (not the DealBeans Client
Knowledge Graph) and serve strategic consulting clients such as PE firms,
pharmaceutical service companies, and sponsor/innovator pharmaceutical
companies.
A private MCP server will connect iG’s proprietary data engine to both product
lines, providing agents with a secure, standardized interface for accessing
proprietary datasets and internal business tools.
### The Role
You will be the lead engineer responsible for productizing a working AI agent
prototype into commercial-grade software. The CIM Engine prototype — which
ingests, classifies, extracts, and synthesizes M&A documents into structured
deliverables — is complete and validated. Your job is to harden it, extend it,
build the client-facing layer, and scale it beyond a single user.
You will be onboarded into DealBeans by the founder/architect, who designed
the agent workflows and prompt architecture. Once the product handover is
complete, you will report directly to Frank, Ontology Manager and de facto
President of industryGENOME, consulting the founder for clarifying questions
and architectural direction on DealBeans-specific work. This is a high-
autonomy role with significant ownership of the technical stack.
### What You’ll Build
First 90 Days
• Production hardening of the existing N8N + Claude API pipeline (async
processing, error handling, retry logic, monitoring)
• Web UI for project management, artifact review, and workflow triggering
(Supabase backend already stores all necessary data)
• Multi-client architecture — the prototype serves one client; you’ll extend
it to serve many
• Image generation pipeline optimization (Gemini API integration via
OpenRouter)
• Content quality improvements to the prompt-driven generation chain
Months 4–12
• Private MCP server exposing iG’s proprietary data to AI agents across both
product lines
• Strategic intelligence agents within iG (competitive landscape, market
mapping, TAM sizing) operating against iG’s proprietary database
• Additional DealBeans engines consuming the Client Knowledge Graph (Pitch
Engine, Market Landscape, Competitive Assessment)
• PPTX assembly automation and template management
• API layer for external client access
### Technical Stack
**Layer Technology**
Orchestration - N8N Cloud (visual workflow automation)
Intelligence - Claude API (Sonnet 4.6, Opus 4.6) via OpenRouter
Image Generation - Gemini 3 Pro Image via OpenRouter
Database - Supabase (PostgreSQL + file storage)
File Storage - Google Drive API
Protocol - MCP (Model Context Protocol) for agent-tool integration
Languages - JavaScript (N8N Code nodes), Python (utilities)
Frontend - React or Next.js + Supabase Auth
### Required Qualifications
• 3+ years building and deploying LLM-powered applications in a production
environment — not just prototypes or demos
• Strong Python and JavaScript proficiency. You’ll work across both languages
daily.
• Production experience with LLM APIs (Anthropic Claude, OpenAI, or Google
Gemini) — including prompt engineering, structured output parsing, and token
budget management
• N8N workflow development experience (cloud or self-hosted). All prototypes
are built in N8N — you will inherit and extend these workflows from Day 1.
• Database design and management — PostgreSQL experience required; Supabase
experience a plus
• API development and integration (REST, webhooks, OAuth) — you’ll connect
multiple services
• RAG pipeline experience — vector search, embeddings, retrieval architecture
• MCP (Model Context Protocol) implementation experience — you will build a
private MCP server connecting proprietary data to AI agents
• Frontend development skills (React/Next.js) for the planned Web UI
• Fluent English — you’ll work directly with the founder on prompt engineering
and domain-specific content
### Strongly Preferred
• Experience working in a startup or venture-stage environment with high
autonomy
• Familiarity with financial services, M&A, or investment banking concepts
• Experience building multi-tenant SaaS applications
Engagement Details
Location: Remote — global. Must be available during overlapping hours with US
Eastern time (minimum 4 hours daily overlap). Target regions: Latin America,
Eastern Europe.
Engagement: Full-time. Paid trial period before full commitment
Compensation: Competitive at senior level for your region.